Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30399
Title: Screening for osteoporosis using L1 vertebral density on abdominal CT in an Australian population.
Austin Authors: Abbouchie, H;Raju, N;Lamanna, Anthony ;Chiang, Cherie Y ;Kutaiba, Numan 
Affiliation: Department of Medicine, University of Melbourne, Grattan Street, Parkville, VIC, 3010 Australia..
Endocrinology
Radiology
Issue Date: Jul-2022
Date: 2022
Publication information: Clinical radiology 2022; 77(7): e540-e548
Abstract: To assess the utility of osteoporosis screening using abdominal computed tomography (CT) versus dual-energy X-ray absorptiometry (DXA) T-scores as the reference. Patients ≥30 years undergoing abdominal CT and DXA within 12 months were assessed retrospectively. Bone mineral density (BMD) was measured using axial CT attenuation at L1, correlating with DXA T-scores. Sensitivity, specificity, area under the curve (AUC), and odds ratio (OR) were calculated. The study cohort comprised 407 CT-DXA pairs (58.2% women). The prevalence of osteoporosis was 11.8%. L1 density and T-score were significantly correlated in both women (r=0.35, p<0.001) and men (r=0.15, p=0.04). The AUC to distinguish osteoporosis from osteopenia and normal BMD was 0.64 (95% CI: 0.56-0.71). In women, a threshold of 190 HU detected T-scores ≤ -2.5 with a negative predictive value (NPV) of 94.4% (OR=4.4, p<0.01). In the entire cohort, a threshold of 180 HU detected T-scores ≤ -2.5 with a NPV of 96.2% (OR=4.7, p<0.01). CT L1 attenuation correlates with L1 DXA T-scores. Density values < 190 and 180 HU increased the probability of an osteoporosis diagnosis in Australian women and the overall cohort, respectively. Opportunistic screening for osteoporosis using abdominal CT is feasible, enabling identification of at-risk subjects for formal DXA imaging, thereby improving treatment initiation and reducing fracture risk.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30399
DOI: 10.1016/j.crad.2022.04.002
ORCID: 0000-0003-0705-2252
0000-0003-4627-9847
0000-0002-9392-6771
Journal: Clinical radiology
PubMed URL: 35550303
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35550303/
Type: Journal Article
Appears in Collections:Journal articles

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